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Clinical Features, Prognostic Factors, and Treatment Interventions for Ulceration in Patients With Infantile Hemangioma

2021· article· en· W3150381129 on OpenAlexaff
Esteban Fernández Faith, Sonal D. Shah, Patricia M. Witman, Katya Harfmann, Flora Bradley, Francine Blei, Elena Pope, Anwar Alsumait, Deepti Gupta, Isabela Covelli, Jenna L. Streicher, Colleen Cotton, Megha M. Tollefson, Henry Nguyen, Raegan Hunt, Melissa Moore‐Clingenpeel, Ilona J. Frieden

Bibliographic record

VenueJAMA Dermatology · 2021
Typearticle
Languageen
FieldMedicine
TopicVascular Malformations and Hemangiomas
Canadian institutionsHospital for Sick ChildrenSickKids FoundationUniversity of Toronto
Fundersnot available
KeywordsMedicineInfantile hemangiomaPsychological interventionDermatologyHemangiomaMEDLINEPediatricsIntensive care medicineSurgery

Abstract

fetched live from OpenAlex

Importance: Ulceration is a common complication of infantile hemangioma (IH), which leads to substantial morbidity. Ulceration in IH has not been systematically studied since the advent of β-blocker therapy for IH. Objectives: To examine treatment interventions used for ulceration in IH and identify clinical prognostic indicators of healing time. Design, Setting, and Participants: A retrospective, multicenter cohort study was conducted on 436 consecutive patients with a clinical diagnosis of ulcerated IH and available clinical photographs. Patients receiving care at tertiary referral centers evaluated between 2012 and 2016 were included; statistical and data analysis were performed from February 7 to April 27, 2020. Exposures: Clinical characteristics, treatment interventions, course, complications, and resource use were analyzed. Treatment interventions for ulceration in IH included local (wound care, topical), systemic (β-blocker, corticosteroids), and procedural (pulsed-dye laser). Main Outcomes and Measures: The primary end point was time to complete or nearly complete ulceration healing. Clinical characteristics were analyzed to determine the responses to most common interventions and prognostic factors for healing of ulceration. Results: Of the 436 patients included in the study, 327 were girls (75.0%); median age at ulceration was 13.7 weeks (interquartile range, 8.86-21.30 weeks). The median heal time was 4.79 weeks (95% CI, 3.71-5.86 weeks) with wound care alone, 5.14 weeks (95% CI, 4.57-6.00 weeks) with timolol, 6.36 weeks (95% CI, 5.57-8.00 weeks) with a systemic β-blocker, and 7.71 weeks (95% CI, 6.71-10.14 weeks) with multimodal therapy. After adjusting for IH size, a dose of propranolol less than or equal to 1 mg/kg/d was associated with shorter healing time compared with higher propranolol doses (hazard ratio, 2.04; 95% CI, 1.11 to 3.73; P = .02). Size of the IH was identified as a significant prognostic factor for healing time in multivariable analysis. Increasing size of IH portends a proportionately longer time to heal of the ulceration. Conclusions and Relevance: Despite the use of β-blockers, this cohort study found that a subset of patients with IH ulceration continued to experience prolonged IH healing times. Larger IH size appears to be a poor prognostic factor for time to heal. For patients requiring systemic therapy, initiation of propranolol at lower doses (≤1 mg/kg/d) should be considered.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.317
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations50
Published2021
Admission routes1
Has abstractyes

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